Anthropic’s Mythos model raises global security concerns as FT sounds the alarm

The EU's negotiations with Anthropic highlight the growing importance of AI diplomacy in balancing security needs and international collaboration. The post EU Commission meets with Anthropic in San Francisco as AI access negotiations heat up appeared first on Crypto Briefing.

Z.ai has released GLM-5.2, an MIT-licensed open-source AI model designed for long-running software engineering tasks, as the Chinese company seeks to challenge proprietary coding models on cost and performance. The company said GLM-5.2 ranked just behind Anthropic’s Claude Opus 4.8 on FrontierSWE, a long-horizon coding benchmark, trailing it by 1%. Z.ai said the model also edged out OpenAI’s GPT-5.5 by 1%. Z.ai said GLM-5.2 supports a one-million-token context window with up to 131,072 output tokens, positioning it for agentic coding workflows that require reasoning across large codebases. The company is also making an efficiency argument. It said GLM-5.2 uses a technique called IndexShare, which reduces per-token compute by 2.9 times at a one-million-token context length. It also said changes to the model’s multi-token prediction layer increased the acceptance length for speculative decoding by up to 20%. The changes are aimed at a practical problem for developers: long-context coding

Z.ai has released GLM-5.2, an MIT-licensed open-source AI model designed for long-running software engineering tasks, as the Chinese company seeks to challenge proprietary coding models on cost and performance. The company said GLM-5.2 ranked just behind Anthropic’s Claude Opus 4.8 on FrontierSWE, a long-horizon coding benchmark, trailing it by 1%. Z.ai said the model also edged out OpenAI’s GPT-5.5 by 1%. Z.ai said GLM-5.2 supports a one million-token context window with up to 131,072 output tokens, positioning it for agentic coding workflows that require reasoning across large codebases. The company is also making an efficiency argument. It said GLM-5.2 uses a technique called IndexShare, which reduces per-token compute by 2.9 times at a one million-token context length. It also said changes to the model’s multi-token prediction layer increased the acceptance length for speculative decoding by up to 20%. The changes are aimed at a practical problem for developers: long-context coding

Unrestrained development of unsafe AI systems is leading to intolerable risks Stuart Russell is a computer scientist known for his contributions to AI and a new Guardian US columnist The AI company Anthropic has been making major headlines recently. Its trillion-dollar IPO plan and its blood feud with secretary of defense Pete Hegseth have attracted much attention, but two other events may be even more consequential. In early June, the company posted an article describing early signs of recursive self-improvement (RSI), a process in which an AI system devises ways to increase its own intelligence, leading to a greater ability to improve itself, and so on. Stuart Russell is a distinguished professor of computer science at University of California, Berkeley, the president of the International Association for Safe and Ethical Artificial Intelligence and a Guardian US columnist Continue reading...

Despite best efforts by defenders, malicious emails continue to slip through the cybersecurity cracks, leading some enterprises to implement a layered “defense in depth” strategy that incorporates multiple tools. Microsoft seems to be challenging this idea, revealing that there are only nominal returns from adding integrated pre- and post-send partners to Defender for Office 365’s protections. According to its new quarterly benchmarking data, the tech giant catches the vast majority of malicious and spam emails before delivery, misses the fewest compared to competitors by a wide margin, and removes nearly 100% of dangerous emails that do reach the inbox. Collectively, its integrated partners improve that catch rate by less than .05%. While these numbers seem to tip the scales towards a one-vendor email security stack, experts urge enterprises to be skeptical and cautious of such vendor claims. Seva Ioussoufovitch, senior research analyst at Info-Tech Research Group, pointed out, “perce

Anthropic's engagement with US officials highlights the critical need for robust AI safety measures to prevent misuse and ensure national security. The post Anthropic sends researcher to address US government AI safety concerns appeared first on Crypto Briefing.

The third and final day of the G7 summit focuses on AI and social media, with CEOs from OpenAI, Anthropic and European rival Mistral meeting leaders for lunch on Wednesday. French President Emmanuel Macron has invited his US counterpart Donald Trump to a private dinner at the lavish Palace of Versailles after the three-day summit wraps up.

The rise of efficient AI models like VibeThinker-3B could democratize AI development, challenging traditional revenue models and boosting decentralized AI. The post Sina Weibo’s VibeThinker-3B matches flagship AI models with just 3 billion parameters appeared first on Crypto Briefing.